Learning agents are a shining example of scientific advancement in the field of artificial intelligence. This innovative approach to problem-solving puts an end to the static nature of classical planning by rejecting the conclusions based on the trivial pursuit of perfect knowledge. This article discusses the core of learning agents, including their parts, functions, advantages, and practical uses, emphasizing their crucial impact on the future of AI.